
Senior Data Engineer - Internal Tools
- Toronto, ON
- Permanent
- Full-time
- Design, build, and maintain scalable, reliable data pipelines that collect, transform, and curate data from internal systems.
- Integrate select external data sources to enrich the data platform.
- Develop applications that support customer-facing products and internal systems.
- Enhance and expand BitGo's blockchain reporting infrastructure and automated reconciliation systems.
- Ensure high data quality and auditability across all pipelines.
- Optimize data systems for near real-time processing and insights.
- Develop and customize self-service tools, empowering data consumers to efficiently extract and analyze data from BitGo's large-scale data platform.
- Research, evaluate, and prototype new technologies to drive continuous improvement in data engineering.
- Engineering degree in Computer Science or equivalent
- 6+ years of combined Software Engineering AND Data Engineering work experience
- Strong experience with server-side languages like TypeScript/Node.JS/Python
- Strong experience with SQL databases like Postgres or MySQL
- Strong experience with RESTful API design
- Experience building data pipelines/ETL and familiarity with design principles
- Experience with data warehouse technologies and relevant data modeling best practices (Snowflake, BigQuery, Spark, Presto, Druid, etc)
- Strong experience with systems design and event driven systems (Kafka)
- A self-starter capable of adapting quickly and being decisive
- Experience with unit and functional testing and debugging
- Experience with microservices and service-oriented architectures
- Experience in Git/GitHub and branching methodologies, code review tools, CI tools, JIRA, Confluence, etc.
- Ability to work independently in a fast-paced environment
- Comfortable with inclusion in on-call rotations for system support
- Effective written and verbal communication skills
- Experience in Financial Services and/or Financial Technology
- Understanding and strong interest in cryptocurrencies and blockchain industry
- Experience with large-scale, real-time, and distributed applications
- Experience with data governance, handling PII, data masking